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Updated: Jan 23, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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通过基于物理的预测间残余几何学的采样生成动态结构

Chenxiao Xiang1, Wenkai Wang1, Zhenling Peng1

  • 1MOE Frontiers Science Center for Nonlinear Expectations, State Key Laboratory of Cryptography and Digital Economy Security, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 22, 2026
PubMed
概括

我们开发了trRosettaX2-Dynamics (trX2-D),一种新的AI方法来预测蛋白质动态和替代构造. 这种方法将深度学习与基于物理的采样相结合,推进结构生物学.

关键词:
深度学习是一种深度学习.蛋白质的动态结构,蛋白质的动态结构蛋白质结构预测 蛋白质结构预测

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This lesson delves into the geometry of a radical, which is influenced by the electronic structure of the molecule. The principle is similar to that of a lone pair, where the unpaired electron influences the geometry at the radical center.
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A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
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